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The cost of unleaded gasoline in the Bay Area once followed an unknown distribution with a mean of $4.59 and a standard devia

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Answer #1

Given:

\mu=4.59

\sigma=0.1

n=16

By using central limit theorem:

\mu_{\bar{x}} =\mu=4.59

\sigma_{\bar{x}} =\sigma/\sqrt{n}=0.1/\sqrt{16}=0.025

P(\bar{x}>4.69) =P(z>\frac{4.69-4.59}{0.025})=P(z>4.00)=1-1.0000={\color{Red} 0.0000}


answered by: ANURANJAN SARSAM
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Answer #2

P(Y > 4.69) = P(Y - mean > 4.69 - mean)
                  = P( (Y - mean)/(SD/root(N)) > (4.69 - mean)/(SD/root(N))
                  = P(Z > (4.69 - mean)/(SD/root(N)))
                  = P(Z > (4.69 - 4.59)/0.025)
                  = P(Z > 4)
                  = 1 - P(Z <= 4)
                  = 1E-08

ANS:Almost zero.

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